ArticleJournal of proteome research2013
A proteomics search algorithm specifically designed for high-resolution tandem mass spectra.
Article in Journal of proteome research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.
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Who cites it
79 citing papers in PubMed.
- Multiomic Integration Reveals Novel miRNA-mRNA-Protein Expression Profile in the Aged Female Retina.Investigative ophthalmology & visual science · 2026Article
- Automatic Selection of Search Parameter Values for Mass Spectrometry-Based Search Engines.Journal of proteome research · 2026Article
- Mass Spectrometry-Based Biomarkers in Drug Development.Advances in experimental medicine and biology · 2026Review
- Mechanosensitive interactions between Jag1 and Myo1c control Jag1 trafficking in endothelial cells.iScience · 2025Article
- Insular cortex predictions regulate glucose homeostasis.bioRxiv : the preprint server for biology · 2025Article
- Glycoprotein-Notebook: A Pan-Cancer Glycoproteomic Database and Toolkit for Analysis of Protein Glycosylation Changes Associated With Cancer Phenotypes.Molecular & cellular proteomics : MCP · 2025Article
- Antiviral potential of diosmin against influenza A virus.Scientific reports · 2025Article
- Identification of microbial species and proteins associated with colorectal cancer by reanalyzing CPTAC proteomic datasets.Scientific reports · 2025Article
- Boosting the Sensitivity of Quantitative Single-Cell Proteomics with Infrared-Tandem Mass Tags.Journal of proteome research · 2025Article
- Phylogenetic tree-based amino acid sequence generation for proteomics data analysis of unknown species.Computational and structural biotechnology journal · 2025Article
- Generational Diet-Induced Obesity Remodels the Omental Adipose Proteome in Female Mice.Nutrients · 2024Article
- Rescoring Peptide Spectrum Matches: Boosting Proteomics Performance by Integrating Peptide Property Predictors Into Peptide Identification.Molecular & cellular proteomics : MCP · 2024Review
- AlphaPept: a modern and open framework for MS-based proteomics.Nature communications · 2024Article
- Identification of Splice Variants and Isoforms in Transcriptomics and Proteomics.Annual review of biomedical data science · 2023Review
- The PRMT5/WDR77 complex restricts hepatitis E virus replication.PLoS pathogens · 2023Article
- Mzion enables deep and precise identification of peptides in data-dependent acquisition proteomics.Scientific reports · 2023Article
- Fast, Free, and Flexible Peptide and Protein Quantification with FlashLFQ.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Advances in neuroproteomics for neurotrauma: unraveling insights for personalized medicine and future prospects.Frontiers in neurology · 2023Review
- Quantitative structural proteomics in living cells by covalent protein painting.Methods in enzymology · 2023Article
- DecipheringMolecular omics · 2022Article
19 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The acquisition of high-resolution tandem mass spectra (MS/MS) is becoming more prevalent in proteomics, but most researchers employ peptide identification algorithms that were designed prior to this development. Here, we demonstrate new software, Morpheus, designed specifically for high-mass accuracy data, based on a simple score that is little more than the number of matching products. For a diverse collection of data sets from a variety of organisms (E. coli, yeast, human) acquired on a variety of instruments (quadrupole-time-of-flight, ion trap-orbitrap, and quadrupole-orbitrap) in different laboratories, Morpheus gives more spectrum, peptide, and protein identifications at a 1% false discovery rate (FDR) than Mascot, Open Mass Spectrometry Search Algorithm (OMSSA), and Sequest. Additionally, Morpheus is 1.5 to 4.6 times faster, depending on the data set, than the next fastest algorithm, OMSSA. Morpheus was developed in C# .NET and is available free and open source under a permissive license.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.